Data Scientist I- Enterprise Complaints Management

Truist • Greensboro, NC

19h • Onsite

About The Position

The Data Scientist I supports the Enterprise Complaints Management team by providing data validation, analytics, and reporting insights to strengthen the Second Line of Defense (2LOD) oversight of the enterprise complaints program. This role partners closely with business leaders and other stakeholders and leverages enterprise complaint data, primarily from Salesforce, to ensure data accuracy, identify trends, and independently assess risk indicators related to customer complaints. The Data Scientist I applies foundational data and analytical methods to enterprise complaint data, including querying and validating large, structured data sets and performing analysis of free form complaint narratives. The role uses analytical tools and scripting to automate data quality checks, support recurring reporting, and conduct trend and pattern analysis across complaint populations. This position evaluates quantitative and qualitative complaint data to identify emerging risk indicators, anomalies, and gaps in monitoring, and translates analytical findings into clear, risk focused insights to support independent challenge, regulatory responses, and executive reporting in a highly regulated financial services environment. For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

Requirements

• Bachelor’s degree and zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
• Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
• Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
• Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines in a collaborative environment

Nice To Haves

• Advanced analytical and data visualization skills, such as Excel (advanced formulas, PivotTables, Power Query) and/or business intelligence tools (Tableau, Power BI).
• Experience with developing and evaluating Artificial Intelligence (AI) solutions to supplement analysis of data.
• Relevant experience and advanced professional certification(s), specialized training, or an advanced degree in analytics, data science, or a related field.
• Previous experience in the banking or fin-tech industry

Responsibilities

• Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Engage in stakeholder meetings to identify business objectives and scope solution requirements.
• With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
• Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Benefits

• medical
• dental
• vision
• life insurance
• disability
• accidental death and dismemberment
• tax-preferred savings accounts
• 401k plan
• no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment
• 10 sick days (also prorated)
• paid holidays
• defined benefit pension plan
• restricted stock units
• deferred compensation plan

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees